Title :
Optimal Design for the Supporting Structure of the Deformable Mirror
Author :
Zhao, Fu ; Gong, Yanjue ; Zhang, Li ; Xiang, Huiyu ; Wang, Ping
Author_Institution :
Coll. of Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
This paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters of the deformable mirror supporting structure and its resonate frequency is built. With this relationship and Genetic Algorithm(GA) optimal design, a group of reasonable structure parameters are found that can improve the dynamic stiffness of the deformable mirror supporting structure.
Keywords :
adaptive optics; finite element analysis; genetic algorithms; mirrors; neural nets; optical design techniques; BP neural network; adaptive optics; deformable mirror supporting structure; dynamic stiffness; finite element analysis; genetic algorithm optimal design; optimization design; orthogonal experiment; Adaptive optics; Deformable models; Design optimization; Finite element methods; Mirrors; Modal analysis; Neural networks; Neurons; Optical distortion; Shape; BP neural network; deformable mirror; finite element analysis; optimization design; supporting structure;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.207
